Multispectral imaging captures a small number of spectral bands, typically three to fifteen, through the use of varying filters and illumination.
A hyperspectral camera uses special hardware to capture hundreds of wavelength bands for each pixel, which can be interpreted as a complete spectrum.
[3] Applications of spectral imaging [4] include art conservation, astronomy, solar physics, planetology, and Earth remote sensing.
This leads to a huge number of images and large bank of filters when a significant spectral resolution is required.
The taken images build a mathematical base with enough information to reconstruct data for each pixel with a high spectral resolution.